A Clinical Care Algorithmic Toolkit for Promoting Screening and Next-Level Assessment of Pediatric Depression and Anxiety in Primary Care
A Clinical Care Algorithmic Toolkit for Promoting Screening and Next-Level Assessment of Pediatric Depression and Anxiety in Primary Care
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DOI：
10.1016/j.pedhc.2017.01.008
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发表时间：
2017-05-01
影响因子：
2.8
通讯作者：
Grasso, Damion J.
中科院分区：
文献类型：
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作者：
Honigfeld, Lisa;Macary, Susan J.;Grasso, Damion J.
随着青少年心理健康服务的记录短缺，儿科初级保健（PPC）提供者面临越来越大的压力，以提高他们识别和管理青少年常见心理健康问题的能力，如焦虑和抑郁。由于90%的美国青少年经常去看PPC提供者，初级保健环境非常适合作为早期识别，服务提供和与心理健康服务联系的关键接入点。在任务转移的背景下，我们评估了一个质量改进项目，旨在帮助PPC提供者通过实施纸张和计算机辅助临床护理算法来克服实践范围内的心理健康筛查障碍。PPC提供者在改变实践以更好地解决心理健康问题方面相当成功，当配备了包括家庭心理健康史，下一级行动和转诊选择在内的筛查工具时。任务转移是加强心理健康服务的一种很有前途的策略，特别是在计算机辅助算法的指导下。
With a documented shortage in youth mental health services, pediatric primary care (PPC) providers face increased pressure to enhance their capacity to identify and manage common mental health problems among youth, such as anxiety and depression. Because 90% of U.S. youth regularly see a PPC provider, the primary care setting is well positioned to serve as a key access point for early identification, service provision, and connection to mental health services. In the context of task shifting, we evaluated a quality improvement project designed to assist PPC providers in overcoming barriers to practice-wide mental health screening through implementing paper and computer-assisted clinical care algorithms. PPC providers were fairly successful at changing practice to better address mental health concerns when equipped with screening tools that included family mental health histories, next-level actions, and referral options. Task shifting is a promising strategy to enhance mental health services, particularly when guided by computerassisted algorithms.